| Literature DB >> 30572262 |
Amir Hossein Karimi1, Hrvoje Brkić2, Daryoush Shahbazi-Gahrouei3, Somayeh Biparva Haghighi4, Iraj Jabbari5.
Abstract
Nowadays, high-energy X-rays produced by medical linear accelerators (LINACs) are widely used in many Radiation Therapy (RT) centers. High-energy photons (> 8 MeV) produce undesired neutrons in the LINAC head which raise concerns about unwanted neutron dose to the patients and RT personnel. Regarding the significance of radiation protection in RT, it is important to evaluate photoneutron contamination inside the RT room. Unfortunately, neutron dosimeters used for this purpose have limitations that can under the best conditions cause to > 10% uncertainty. In addition to this uncertainty, the present Monte Carlo (MC) study introduces another uncertainty in measurements (nearly up to 20%) when neutron ambient dose equivalent (Hn*(10)) is measured at the patient table or inside the maze and the change in neutron energy is ignored. This type of uncertainty can even reach 35% if Hn*(10) is measured by dosimeters covered by a layer of 10B as converter. So, in these cases, neglecting the change in neutron energy can threaten the credibility of measured data and one should attend to this energy change in order to reduce measurement uncertainty to the possible minimum. This study also discusses the change in neutron spectra and Hn*(10) at the patient table caused by removing a typical RT room from MC simulations. Under such conditions, neutron mean energy (Ēn) overestimated by 0.2-0.4 MeV at the patient table. Neutron fluence (φn) at the isocenter (IC) was underestimated by 23-54% for different field sizes that caused Hn*(10) to be miscalculated up to 24%. This finding informs researchers that for accurate evaluation of Hn*(10) at the patient table, simulating the RT room is an effective parameter in MC studies.Entities:
Keywords: LINAC; Medical dosimetry; Monte Carlo; Photoneutron contamination; Radiotherapy
Mesh:
Year: 2018 PMID: 30572262 DOI: 10.1016/j.apradiso.2018.12.007
Source DB: PubMed Journal: Appl Radiat Isot ISSN: 0969-8043 Impact factor: 1.513